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An Intelligent Scheme Switching for MIMO Systems Using Fuzzy Logic Technique

机译：基于模糊逻辑的MIMO系统智能方案切换

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Link adaptation is an important strategy for achieving robust wireless multimedia communications based on quality of service (QoS) demand. Scheme switching in multiple-input multiple-output (MIMO) systems is an aspect of link adaptation, and it involves selecting among different MIMO transmission schemes or modes so as to adapt to the varying radio channel conditions for the purpose of achieving QoS delivery. However, finding the most appropriate switching method in MIMO links is still a challenge as existing methods are either computationally complex or not always accurate. This paper presents an intelligent switching method for the MIMO system consisting of two schemes - transmit diversity (TD) and spatial multiplexing (SM) - using fuzzy logic technique. In this method, two channel quality indicators (CQI) namely average received signal-to-noise ratio (RSNR) and received signal strength indicator (RSSI) are measured and are passed as inputs to the fuzzy logic system which then gives a decision – an inference. The switching decision of the fuzzy logic system is fed back to the transmitter to switch between the TD and SM schemes. Simulation results show that the proposed fuzzy logic – based switching technique outperforms conventional static switching technique in terms of bit error rate and spectral efficiency.
机译：链路自适应是一种基于服务质量（QoS）需求实现强大的无线多媒体通信的重要策略。多输入多输出（MIMO）系统中的方案切换是链路自适应的一个方面，它涉及在不同的MIMO传输方案或模式之间进行选择，以适应变化的无线电信道条件，以实现QoS传递。但是，在MIMO链路中找到最合适的交换方法仍然是一个挑战，因为现有方法要么计算复杂，要么并不总是准确的。本文提出了一种采用模糊逻辑技术的MIMO系统的智能切换方法，该方法包括两个方案-发射分集（TD）和空间复用（SM）。用这种方法，测量两个信道质量指标（CQI），即平均接收信噪比（RSNR）和接收信号强度指标（RSSI），并将其作为输入传递给模糊逻辑系统，然后由模糊逻辑系统做出决定–推理。模糊逻辑系统的切换决策被反馈到发送器，以在TD和SM方案之间进行切换。仿真结果表明，基于模糊逻辑的交换技术在误码率和频谱效率方面优于传统的静态交换技术。

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